Raabe, D.; Helming, K.; Roters, F.; Zhao, Z.; Hirsch, J.: A Texture Component Crystal Plasticity Finite Element Method for Scalable Large Strain Anisotropy Simulations. ICOTOM 13, Seoul, South Korea (2002)
Raabe, D.: Modelling Applied to Aluminium Alloy Metallurgy. Keynote lecture at the 8th International Conference on Aluminium Alloys (ICAA-8), Cambridge, UK (2002)
Hariharan, A.; Lu, L.; Risse, J.; Jägle, E. A.; Raabe, D.: Mechanisms Contributing to Solidification Cracking during laser powder bed fusion of Inconel-738LC. Alloys for Additive Manufacturing Symposium 2019 (AAMS2019), Chalmers University of Technology, Gothenburg, Sweden (2019)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…